Optimization Methods for Business Analytics
- Offered byedX
Optimization Methods for Business Analytics at edX Overview
Optimization Methods for Business Analytics
at edX
Learn how to use optimization methodologies and modeling approaches to effectively analyze data.
Duration | 23 hours |
Start from | Start Now |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Go to Website  |
Credential | Certificate |
Optimization Methods for Business Analytics at edX Highlights
Optimization Methods for Business Analytics
at edX
- Start instantly and learn at your own schedule.
- Enroll for Free
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- Learn from professors of Massachusetts Institute of Technology
- Offered by Massachusetts Institute of Technology
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Optimization Methods for Business Analytics at edX Course details
Optimization Methods for Business Analytics
at edX
Skills you will learn
Who should do this course?
- The recommended audience for this course is undergraduates, as well as professionals interested in using optimization software. The content in this course has applications in logistics, marketing, project management, finance, statistics and machine learning.
What are the course deliverables?
- Theoretical aspects of Linear Programming
- Basic Julia programming
- Proficiency with linear and nonlinear solvers
More about this course
- Optimization is the search for the best and most effective solution. In this mathematics course, we will examine optimization through a Business Analytics lens. You will be introduced to the to the theory, algorithms, and applications of optimization. Linear and integer programming will be taught both algebraically and geometrically, and then applied to problems involving data. Students will develop an understanding of algebraic formulations, and use Julia/JuMP for computation. Theoretical components of the course are made approachable, and require no formal background in linear algebra or calculus.
Optimization Methods for Business Analytics at edX Curriculum
Optimization Methods for Business Analytics
at edX
Linear programming
Geometry of linear programming
Integer programming I
Integer programming II
Sensitivity Analysis
Nonlinear programming
Optimization Methods for Business Analytics at edX Entry Requirements
Optimization Methods for Business Analytics
at edX
Eligibility criteria
- None, although a comfort with mathematics is expected.
Conditional Offer
- Not mentioned
Optimization Methods for Business Analytics at edX Admission Process
Optimization Methods for Business Analytics
at edX
Important Dates
May 25, 2024
Course Commencement Date
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Optimization Methods for Business Analytics
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